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Effect of daily temperature variations on the continuous deflection profiles of airfield jointed concrete pavements

Authors
Nam, Boo HyunYeon, Jung HeumBehring, Zachary
Issue Date
30-Dec-2014
Publisher
ELSEVIER SCI LTD
Keywords
Daily temperature variation; Continuous deflection profile; Airfield jointed concrete pavement; Curling; Rolling dynamic deflectometer; Finite element analysis
Citation
CONSTRUCTION AND BUILDING MATERIALS, v.73, pp.261 - 270
Journal Title
CONSTRUCTION AND BUILDING MATERIALS
Volume
73
Start Page
261
End Page
270
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12011
DOI
10.1016/j.conbuildmat.2014.09.073
ISSN
0950-0618
Abstract
Compared with highway roads primarily damaged by repeated vehicle loads, airfield pavements suffer more from heavier aircraft loading, along with environmental factors. In particular, a pavement temperature is one of the critical factors affecting the behavior and response of airfield jointed concrete pavements (JCP). Temperature variations cause curling and expansion/contraction of a slab, which may ultimately influence the in-situ deflection measurements. Along with the pavement temperature, it is well known that other parameters such as subsurface conditions (i.e. stiffness of base/subbase layers), setting temperature of concrete, slab dimensions, and joint/crack width also affect the behavior and response of JCP. The main objectives of this paper are to characterize: (1) the behavior of airfield JCP due to temperature variations in terms of pavement "deflections" (defined as the dynamic movements of a pavement induced by dynamic loading); and (2) the effects of various affecting parameters on the vertical displacement profile of JCP slabs. The primary research means include in-situ pavement deflection measurements at different times of a day. For this purpose, a rolling dynamic deflectometer (RDD) which measures the continuous deflection profiles along a selected pavement section (100% coverage of a tested path) was employed. Also, extensive two-dimensional numerical simulations were performed to provide supporting evidence for the behavior trends generated by RDD. (C) 2014 Elsevier Ltd. All rights reserved.
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